The silence in the waiting room was deafening. He shifted uncomfortably in his seat, the plastic cold against his back. He glanced at the other applicants, their faces blank. He was sure they were all in league, plotting to make him seem inadequate. He took a shaky breath.

His mind replayed every mistake he'd ever made, every flaw he possessed. He was sure his weaknesses were being discussed. The door opened and the person interviewing him smiled, and he felt a burst of heat. He felt the smile was a false one.

He was convinced his rival, Alex, was being favored. Every polite word, every casual gesture from the interviewer now seemed loaded with hidden meaning. The coffee in the waiting room tasted bitter. He couldn't relax.

Emotion: paranoid

Cluster: Suspicion / Vigilance
PC1 (Valence): -2.37 Negative
PC2 (Disposition): 0.70

Role in Research

This story is one of 1,000 stories generated for the emotion paranoid. During extraction, it was fed through Gemma4-31B and its hidden state activations were captured at 11 layers.

The mean activation across all 1,000 paranoid stories, after denoising with neutral dialogue baselines, produces the paranoid emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the paranoid vector is projected through the unembedding matrix.

Promoted:
even0.418
마다0.378
paranoid0.371
afraid0.366
🕵0.360
Suppressed:
la-0.628
de-0.541
L-0.472
H-0.470
B-0.434